{"uid":"cap_plDn7OVfCQATXNsfkHXXy","slug":"schema-conformity-record-quality-audit-base-100-series-c00bdab6","name":"Schema Conformity Record Quality Audit + Base-100 Series","description":"Schema conformity — Record quality audit + Base-100 series: Record quality audit + Base-100 series for supplied schema conformity records (valid_records, checked_records). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-02-012?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","valid_records","checked_records"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"valid_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"checked_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","valid_records":10,"checked_records":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","valid_records":20,"checked_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","valid_records":15,"checked_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","valid_records":30,"checked_records":4}],"maxItems":200,"minItems":1},"field":{"enum":["valid_records","checked_records"],"type":"string","default":"valid_records"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_F5NTeyA8R67glxQSLHsvQ","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs a record quality audit and a Base-100 index series on up to 200 rows of schema conformity data (valid_records, checked_records), returning two independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and Base-100 index series on my schema conformity data? I have 4 rows with dataset groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and valid_records values of 10, 20, 15, 30 — use valid_records as the field and start the base index at row 0.","exampleUseCases":[{"title":"Weekly conformity audit across pipeline stages","prompt":"I have a week's worth of schema conformity records across two pipeline groups with daily valid_records and checked_records counts — can you run a record quality audit and Base-100 series on all 7 rows using valid_records as the field, starting the base at index 0?"},{"title":"Comparing checked_records trends across groups","prompt":"Run a quality audit and Base-100 index analysis on my 20 rows of schema conformity data using checked_records as the field and row index 5 as the base, so I can see how checking volume has trended relative to that day."},{"title":"One-off data quality snapshot for reporting","prompt":"I need two analytical reports — a record quality audit and a Base-100 series — for 50 schema conformity rows I have from October, using valid_records and baseline at index 0, so I can include the stats in my monthly data quality report."}],"resultDescription":"Returns two independent reports: (1) a record quality audit summarizing conformity metrics (e.g. validity rates, counts, distributions) across the supplied rows, and (2) a Base-100 indexed series for the selected field (valid_records or checked_records) normalized relative to the specified base row. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Rows array is empty or missing — API returns validation error","More than 200 rows supplied — rejected with maxItems error","base_index out of range (0–199) — returns validation error","valid_records or checked_records contain non-numeric values — may cause computation errors","date fields not in YYYY-MM-DD format — schema validation failure","Missing required fields (row_id, date, valid_records, checked_records) on any row — rejected"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of schema conformity data with valid_records and checked_records counts and need both a record quality audit and a Base-100 normalized time series in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical reporting where no live data lookup, prediction, or external enrichment is needed — just local computation on your supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-13T00:42:12.388Z","isFirstParty":false,"canonicalSlug":"schema-conformity-record-quality-audit-base-100-series-c00bdab6"}